User-centered Offline Analysis of Memory Monitoring Data

State-of-the-art memory monitoring tools collect lots of raw data. Yet, the analysis of this data is often not well supported. Existing tools restrict the user in the way how to analyze the underlying data, how to process it, and how to visualize it. This results in the dilemma that the raw data often contains more information than what can be exploited. We present a novel user-centric approach, allowing custom offline analysis and visualization of memory monitoring data by employing user-defined classification on heap objects. Putting the user in the center of the analysis process and providing flexible query and classification interfaces can change the way how we monitor memory usage. Our goal is to turn special-purpose memory monitoring tools into more general and customizable tools.